Dr.-Ing Arslan Ali
Arslan Ali, Dr.-Ing
Lebenslauf
Arslan Ali wurde 1988 in Rawalpindi, Pakistan, geboren. Er erwarb 2010 seinen Bachelor-Abschluss (mit Auszeichnung) in Elektrotechnik an der University of Engineering & Technology (UET) Taxila, Pakistan. Von 2011 bis 2012 arbeitete er als Associate Engineer in Pakistan bei Mobile Communications Limited (PMCL) – Mobilink, Pakistan. Im Jahr 2014 erhielt er seinen Master-Abschluss in Communications & Multimedia Engineering (CME) von der Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, Deutschland. Ab Januar 2015 arbeitete er als wissenschaftlicher Mitarbeiter für seine Promotion am Institut für Elektrotechnik (LTE) der Friedrich-Alexander-Universität (FAU) Erlangen-Nürnberg, die er 2021 abschloss. Seine Forschung beschäftigt sich hauptsächlich mit dem Design und der Charakterisierung von Massive MIMO Kommunikationssystemen.
Arbeitsgebiete
- Massive MIMO und 5G-Mobilkommunikationssysteme
- Statistische Signalintegrität und -verarbeitung
- Hardwarebeeinträchtigungen berücksichtigen BS RF Fingerprinting
- Entwurf von Kommunikationssystemen
- Digitaler und analoger Basisband-Transceiver-Entwurf
- Verteiltes Antennensystem
- Passive Lastmodulation für Single RF MIMO Architektur
Awards
- 2019: Finalist for the IEEE Young Professionals Best Paper Award for "The Phase Noise and Clock Synchronous Carrier Frequency Offset based RF Fingerprinting for the Fake Base Station Detection" (IEEE WAMICON)
- 2019: IEEE Best Student Paper Award (1st Place) for "Symbol Based Statistical RF Fingerprinting for Fake Base Station Identification" (IEEE Czechoslovakia Section at MAREW)
- 2014: German Academic Exchange Service's (DAAD) STIBET Final Year Scholarship for Master's Degree (DAAD)
Publikationen
2019
Enabling Fake Base Station Detection through Sample-based Higher Order Noise Statistics
42nd International Conference on Telecommunications and Signal Processing, TSP 2019 (Budapest, Hungary, 1. Juli 2019 - 3. Juli 2019)
In: Norbert Herencsar (Hrsg.): 2019 42nd International Conference on Telecommunications and Signal Processing, TSP 2019 2019
DOI: 10.1109/TSP.2019.8769046
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Symbol based statistical RF fingerprinting for fake base station identification
29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 (Pardubice, 16. April 2019 - 18. April 2019)
In: 2019 29th International Conference Radioelektronika, RADIOELEKTRONIKA 2019 - Microwave and Radio Electronics Week, MAREW 2019 2019
DOI: 10.1109/RADIOELEK.2019.8733585
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The Phase Noise and Clock Synchronous Carrier Frequency Offset based RF Fingerprinting for the Fake Base Station Detection
20th IEEE Wireless and Microwave Technology Conference (WAMICON) - IEEE WAMICON (Cocoa Beach, Florida, USA, 8. April 2019 - 9. April 2019)
In: WAMICON 2019 2019
DOI: 10.1109/WAMICON.2019.8765471
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Symbol Based Statistical RF Fingerprinting for Fake Base Station Identification
29th International Conference Radioelektronika 2019, Microwave and Radio Electronics Week (MAREW) (Pardubice, Czech Republic, 16. April 2019 - 18. April 2019)
DOI: 10.1109/RADIOELEK.2019.8733585
URL: https://ieeexplore.ieee.org/document/8733585
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2018
Comparison of Various Hardware Architectures for the Shared UE-Side Distributed Antenna Component
2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN) - Workshop: 5G and Spectrum Sharing (5G Spectrum) (Seoul, South Korea, 22. Oktober 2018 - 25. Oktober 2018)
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2017
A System Concept for Online Calibration of Massive MIMO Transceiver Arrays for Communication and Localization
In: IEEE Transactions on Microwave Theory and Techniques (2017)
ISSN: 0018-9480
DOI: 10.1109/TMTT.2017.2663404
URL: http://ieeexplore.ieee.org/document/7867061/
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2016
Discrete Load-Modulated Single-RF MIMO Transmitters
20th Int’l ITG Workshop on Smart Antennas (München)
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2015
Baseband Architecture Design of Massive MIMO Communication System with FPGAs
26th Meeting of ITG Professional Group for Applied Information Theory on Massive MIMO Theory and Applications (Stuttgart, 8. Oktober 2015 - 8. Oktober 2015)
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